tldr: use gpt

plugins/tldr/tldr.go

@@ -1,8 +1,14 @@
 package tldr
 
 import (
+	"bytes"
+	"context"
 	"fmt"
+	"github.com/andrewstuart/openai"
+	"github.com/velour/catbase/config"
+	"regexp"
 	"strings"
+	"text/template"
 	"time"
 
 	"github.com/velour/catbase/bot"
@@ -14,7 +20,8 @@ import (
 )
 
 type TLDRPlugin struct {
-	bot         bot.Bot
+	b           bot.Bot
+	c           *config.Config
 	history     []history
 	index       int
 	lastRequest time.Time
@@ -28,100 +35,52 @@ type history struct {
 
 func New(b bot.Bot) *TLDRPlugin {
 	plugin := &TLDRPlugin{
-		bot:         b,
+		b:           b,
+		c:           b.Config(),
 		history:     []history{},
 		index:       0,
 		lastRequest: time.Now().Add(-24 * time.Hour),
 	}
-	b.Register(plugin, bot.Message, plugin.message)
+	plugin.register()
-	b.Register(plugin, bot.Help, plugin.help)
 	return plugin
 }
 
-func (p *TLDRPlugin) message(c bot.Connector, kind bot.Kind, message msg.Message, args ...any) bool {
+func (p *TLDRPlugin) register() {
-	timeLimit := time.Duration(p.bot.Config().GetInt("TLDR.HourLimit", 1))
+	p.b.RegisterTable(p, bot.HandlerTable{
-	lowercaseMessage := strings.ToLower(message.Body)
+		{
-	if lowercaseMessage == "tl;dr" && p.lastRequest.After(time.Now().Add(-timeLimit*time.Hour)) {
+			Kind: bot.Message, IsCmd: true,
-		p.bot.Send(c, bot.Message, message.Channel, "Slow down, cowboy. Read that tiny backlog.")
+			Regex:    regexp.MustCompile(`old tl;dr`),
-		return true
+			HelpText: "Get a rather inaccurate summary of the channel",
-	} else if lowercaseMessage == "tl;dr" {
+			Handler:  p.tldrCmd,
-		p.lastRequest = time.Now()
+		},
-		nTopics := p.bot.Config().GetInt("TLDR.Topics", 5)
+		{
-
+			Kind: bot.Message, IsCmd: true,
-		stopWordSlice := p.bot.Config().GetArray("TLDR.StopWords", []string{})
+			Regex:    regexp.MustCompile(`tl;dr`),
-		if len(stopWordSlice) == 0 {
+			HelpText: "Get a summary of the channel",
-			stopWordSlice = THESE_ARE_NOT_THE_WORDS_YOU_ARE_LOOKING_FOR
+			Handler:  p.betterTLDR,
-			p.bot.Config().SetArray("TLDR.StopWords", stopWordSlice)
+		},
-		}
+		{
-
+			Kind: bot.Message, IsCmd: false,
-		vectoriser := nlp.NewCountVectoriser(stopWordSlice...)
+			Regex:   regexp.MustCompile(`.*`),
-		lda := nlp.NewLatentDirichletAllocation(nTopics)
+			Handler: p.record,
-		pipeline := nlp.NewPipeline(vectoriser, lda)
+		},
-		docsOverTopics, err := pipeline.FitTransform(p.getTopics()...)
+	})
-
+	p.b.Register(p, bot.Help, p.help)
-		if err != nil {
+}
-			log.Error().Err(err)
-			return false
-		}
-
-		bestScores := make([][]float64, nTopics)
-		bestDocs := make([][]history, nTopics)
-
-		supportingDocs := p.bot.Config().GetInt("TLDR.Support", 3)
-		for i := 0; i < nTopics; i++ {
-			bestScores[i] = make([]float64, supportingDocs)
-			bestDocs[i] = make([]history, supportingDocs)
-		}
-
-		dr, dc := docsOverTopics.Dims()
-		for topic := 0; topic < dr; topic++ {
-			minScore, minIndex := min(bestScores[topic])
-
-			for doc := 0; doc < dc; doc++ {
-				score := docsOverTopics.At(topic, doc)
-				if score > minScore {
-					bestScores[topic][minIndex] = score
-					bestDocs[topic][minIndex] = p.history[doc]
-					minScore, minIndex = min(bestScores[topic])
-				}
-			}
-		}
-
-		topicsOverWords := lda.Components()
-		tr, tc := topicsOverWords.Dims()
-
-		vocab := make([]string, len(vectoriser.Vocabulary))
-		for k, v := range vectoriser.Vocabulary {
-			vocab[v] = k
-		}
-
-		response := "Here you go captain 'too good to read backlog':\n"
-
-		for topic := 0; topic < tr; topic++ {
-			bestScore := -1.
-			bestTopic := ""
-			for word := 0; word < tc; word++ {
-				score := topicsOverWords.At(topic, word)
-				if score > bestScore {
-					bestScore = score
-					bestTopic = vocab[word]
-				}
-			}
-			response += fmt.Sprintf("\n*Topic #%d: %s*\n", topic, bestTopic)
-			for i := range bestDocs[topic] {
-				response += fmt.Sprintf("<%s>%s\n", bestDocs[topic][i].user, bestDocs[topic][i].body)
-			}
-
-		}
-
-		p.bot.Send(c, bot.Message, message.Channel, response)
 
+func (p *TLDRPlugin) tldrCmd(r bot.Request) bool {
+	timeLimit := time.Duration(p.b.Config().GetInt("TLDR.HourLimit", 1))
+	if p.lastRequest.After(time.Now().Add(-timeLimit * time.Hour)) {
+		p.b.Send(r.Conn, bot.Message, r.Msg.Channel, "Slow down, cowboy. Read that tiny backlog.")
 		return true
 	}
+	return false
+}
 
+func (p *TLDRPlugin) record(r bot.Request) bool {
 	hist := history{
-		body:      lowercaseMessage,
+		body:      strings.ToLower(r.Msg.Body),
-		user:      message.User.Name,
+		user:      r.Msg.User.Name,
 		timestamp: time.Now(),
 	}
 	p.addHistory(hist)
@@ -129,11 +88,86 @@ func (p *TLDRPlugin) message(c bot.Connector, kind bot.Kind, message msg.Message
 	return false
 }
 
+func (p *TLDRPlugin) oldTLDR(r bot.Request) bool {
+	p.lastRequest = time.Now()
+	nTopics := p.b.Config().GetInt("TLDR.Topics", 5)
+
+	stopWordSlice := p.b.Config().GetArray("TLDR.StopWords", []string{})
+	if len(stopWordSlice) == 0 {
+		stopWordSlice = THESE_ARE_NOT_THE_WORDS_YOU_ARE_LOOKING_FOR
+		p.b.Config().SetArray("TLDR.StopWords", stopWordSlice)
+	}
+
+	vectoriser := nlp.NewCountVectoriser(stopWordSlice...)
+	lda := nlp.NewLatentDirichletAllocation(nTopics)
+	pipeline := nlp.NewPipeline(vectoriser, lda)
+	docsOverTopics, err := pipeline.FitTransform(p.getTopics()...)
+
+	if err != nil {
+		log.Error().Err(err)
+		return false
+	}
+
+	bestScores := make([][]float64, nTopics)
+	bestDocs := make([][]history, nTopics)
+
+	supportingDocs := p.b.Config().GetInt("TLDR.Support", 3)
+	for i := 0; i < nTopics; i++ {
+		bestScores[i] = make([]float64, supportingDocs)
+		bestDocs[i] = make([]history, supportingDocs)
+	}
+
+	dr, dc := docsOverTopics.Dims()
+	for topic := 0; topic < dr; topic++ {
+		minScore, minIndex := min(bestScores[topic])
+
+		for doc := 0; doc < dc; doc++ {
+			score := docsOverTopics.At(topic, doc)
+			if score > minScore {
+				bestScores[topic][minIndex] = score
+				bestDocs[topic][minIndex] = p.history[doc]
+				minScore, minIndex = min(bestScores[topic])
+			}
+		}
+	}
+
+	topicsOverWords := lda.Components()
+	tr, tc := topicsOverWords.Dims()
+
+	vocab := make([]string, len(vectoriser.Vocabulary))
+	for k, v := range vectoriser.Vocabulary {
+		vocab[v] = k
+	}
+
+	response := "Here you go captain 'too good to read backlog':\n"
+
+	for topic := 0; topic < tr; topic++ {
+		bestScore := -1.
+		bestTopic := ""
+		for word := 0; word < tc; word++ {
+			score := topicsOverWords.At(topic, word)
+			if score > bestScore {
+				bestScore = score
+				bestTopic = vocab[word]
+			}
+		}
+		response += fmt.Sprintf("\n*Topic #%d: %s*\n", topic, bestTopic)
+		for i := range bestDocs[topic] {
+			response += fmt.Sprintf("<%s>%s\n", bestDocs[topic][i].user, bestDocs[topic][i].body)
+		}
+
+	}
+
+	p.b.Send(r.Conn, bot.Message, r.Msg.Channel, response)
+
+	return true
+}
+
 func (p *TLDRPlugin) addHistory(hist history) {
 	p.history = append(p.history, hist)
 	sz := len(p.history)
-	max := p.bot.Config().GetInt("TLDR.HistorySize", 1000)
+	max := p.b.Config().GetInt("TLDR.HistorySize", 1000)
-	keepHrs := time.Duration(p.bot.Config().GetInt("TLDR.KeepHours", 24))
+	keepHrs := time.Duration(p.b.Config().GetInt("TLDR.KeepHours", 24))
 	// Clamp the size of the history
 	if sz > max {
 		p.history = p.history[len(p.history)-max:]
@@ -163,7 +197,7 @@ func (p *TLDRPlugin) getTopics() []string {
 
 // Help responds to help requests. Every plugin must implement a help function.
 func (p *TLDRPlugin) help(c bot.Connector, kind bot.Kind, message msg.Message, args ...any) bool {
-	p.bot.Send(c, bot.Message, message.Channel, "tl;dr")
+	p.b.Send(c, bot.Message, message.Channel, "tl;dr")
 	return true
 }
 
@@ -178,3 +212,41 @@ func min(slice []float64) (float64, int) {
 	}
 	return minVal, minIndex
 }
+
+func (p *TLDRPlugin) betterTLDR(r bot.Request) bool {
+	c, err := p.getClient()
+	if err != nil {
+		p.b.Send(r.Conn, bot.Message, r.Msg.Channel, "Couldn't fetch an OpenAI client")
+		return true
+	}
+	promptConfig := p.c.Get("tldr.prompttemplate", "Summarize the following conversation:\n")
+	promptTpl := template.Must(template.New("gptprompt").Parse(promptConfig))
+	prompt := bytes.Buffer{}
+	data := p.c.GetMap("tldr.promptdata", map[string]string{})
+	promptTpl.Execute(&prompt, data)
+	backlog := ""
+	for _, h := range p.history {
+		backlog += fmt.Sprintf("%s: %s\n", h.user, h.body)
+	}
+	sess := c.NewChatSession(prompt.String())
+	completion, err := sess.Complete(context.TODO(), backlog)
+	if err != nil {
+		p.b.Send(r.Conn, bot.Message, r.Msg.Channel, "Couldn't run the OpenAI request")
+		return true
+	}
+	log.Debug().
+		Str("prompt", prompt.String()).
+		Str("backlog", backlog).
+		Str("completion", completion).
+		Msgf("tl;dr")
+	p.b.Send(r.Conn, bot.Message, r.Msg.Channel, completion)
+	return true
+}
+
+func (p *TLDRPlugin) getClient() (*openai.Client, error) {
+	token := p.c.Get("gpt.token", "")
+	if token == "" {
+		return nil, fmt.Errorf("no GPT token given")
+	}
+	return openai.NewClient(token)
+}

plugins/tldr/tldr_test.go

@@ -68,8 +68,8 @@ func TestDoubleUp(t *testing.T) {
 func TestAddHistoryLimitsMessages(t *testing.T) {
 	c, _ := setup(t)
 	max := 1000
-	c.bot.Config().Set("TLDR.HistorySize", strconv.Itoa(max))
+	c.b.Config().Set("TLDR.HistorySize", strconv.Itoa(max))
-	c.bot.Config().Set("TLDR.KeepHours", "24")
+	c.b.Config().Set("TLDR.KeepHours", "24")
 	t0 := time.Now().Add(-24 * time.Hour)
 	for i := 0; i < max*2; i++ {
 		hist := history{
@@ -86,8 +86,8 @@ func TestAddHistoryLimitsDays(t *testing.T) {
 	c, _ := setup(t)
 	hrs := 24
 	expected := 24
-	c.bot.Config().Set("TLDR.HistorySize", "100")
+	c.b.Config().Set("TLDR.HistorySize", "100")
-	c.bot.Config().Set("TLDR.KeepHours", strconv.Itoa(hrs))
+	c.b.Config().Set("TLDR.KeepHours", strconv.Itoa(hrs))
 	t0 := time.Now().Add(-time.Duration(hrs*2) * time.Hour)
 	for i := 0; i < 48; i++ {
 		hist := history{